{"id":"W6943566407","doi":"10.15468/dl.sgapcj","title":"Occurrence Download","year":2024,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001052851,0.001967129,0.001646293,0.005472928,0.001001724,0.00263364,0.002875776,0.002039069,0.1503198],"category_scores_gemma":[0.005951441,0.000922312,0.001244774,0.01029085,0.00046651,0.00222443,0.002746548,0.00196875,0.2179313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525546,"about_ca_system_score_gemma":0.002347668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935711,"about_ca_topic_score_gemma":0.03313417,"domain_scores_codex":[0.9988907,0.0001504295,0.0001475934,0.000372105,0.0002496806,0.0001895921],"domain_scores_gemma":[0.9974716,0.0006520798,0.0002436011,0.0006975872,0.0006276944,0.0003074899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003513574,0.00001254584,0.0004213359,0.0006491576,0.00001794856,0.00001618071,0.00002534471,0.0001226763,0.0001555202,0.0003923314,0.9965239,0.001627902],"study_design_scores_gemma":[0.00007180785,0.000008664015,0.001845436,0.0001928281,0.00001513683,0.00003653504,0.00006623425,0.0001234686,0.0002051846,0.0007021015,0.9967149,0.00001764422],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004514601,0.00003169785,0.00004118407,0.00003279543,0.00001176691,0.000005838336,0.9988114,0.000385407,0.0006348019],"genre_scores_gemma":[0.0001495909,0.00003437986,0.0001823775,0.00004261429,0.000003357178,0.00004116292,0.9990004,0.0001368215,0.000409428],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8496802,"threshold_uncertainty_score":0.5028698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}